33 post-doc-image-engineering-computer-vision Postdoctoral positions at Virginia Tech in United-States
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Job Description We invite applications for a postdoctoral associate in theoretical Quantum Information Science in the Computer Science Department of Virginia Tech at the Innovation Campus in
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jurisdictions utilizing land use-value assessment estimates. Duties include, but are not limited to: development of computational methods, maintenance of current models and data sets, identifying and testing
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Job Description Applications are invited for a full-time Postdoctoral Associate position within the Bradley Department of Electrical and Computer Engineering, Wireless @ Virginia Tech, College
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Job Description The Aylward lab at Virginia Tech is seeking a post-doctoral researcher interested in the evolution and genomics of DNA viruses. The researcher will have the opportunity to work in
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Job Description A postdoctoral associate position in the area of organoid design and engineering is available in the Department of Chemical Engineering, Virginia Tech (Blacksburg, VA, USA). The
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-based models, and remote sensing technologies. Required Qualifications • Ph.D. in Civil or Environmental Engineering, Hydrology, Data Science, Geosciences, Computer Science, or a related field. PhD must
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engineering, computer science, and any related fields, or MD with the equivalent level of training and lab experience. • PhD must be awarded no more than four years prior to the effective date of appointment
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research project using cutting-edge approaches in whole-cell patch-clamp electrophysiology, in vivo calcium imaging, and animal behavioral tests. • Employ advanced neural circuit dissection methods (e.g
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microenvironment. The project will employ genetically engineered mouse and human glioma models, along with advanced imaging techniques, single-cell and spatial transcriptomics, and molecular biology approaches
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supervision of Prof. Yingda Cheng on computational methods and modeling for kinetic equations. The research conducted will involve development of numerical methods, development and analysis of reduced order